Literature DB >> 25827680

Evaluation of an inertial sensor system for analysis of timed-up-and-go under dual-task demands.

Jason T Coulthard1, Tanner T Treen1, Alison R Oates1, Joel L Lanovaz2.   

Abstract

Functional tests, such as the timed-up-and-go (TUG), are routinely used to screen for mobility issues and fall risk. While the TUG is easy to administer and evaluate, its single time-to-completion outcome may not discriminate between different mobility challenges. Wearable sensors provide an opportunity to collect a variety of additional variables during clinical tests. The purpose of this study was to assess a new wearable inertial sensor system (iTUG) by investigating the effects of cognitive tasks in a dual-task paradigm on spatiotemporal and kinematic variables during the TUG. No previous studies have looked at both spatiotemporal variables and kinematics during dual-task TUG tests. 20 healthy young participants (10 males) performed a total 15 TUG trials with two different cognitive tasks and a normal control condition. Total time, along with spatiotemporal gait parameters and kinematics for all TUG subtasks (sit-to-stand, walking, turn, turn-to-sit), were measured using the inertial sensors. Time-to-completion from iTUG was highly correlated with concurrent manual timing. Spatiotemporal variables during walking showed expected differences between control and cognitive dual-tasks while trunk kinematics appeared to show more sensitivity to dual-tasks than reported previously in straight line walking. Non-walking TUG subtasks showed only minor changes during dual-task conditions indicating a possible attentional shift away from the cognitive task. Stride length and some variability measures were significantly different between the two cognitive tasks suggesting an ability to discriminate between tasks. Overall, the use of the iTUG system allows the collection of both traditional and potentially more discriminatory variables with a protocol that is easily used in a clinical setting.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cognitive task; Gait; Human locomotion; Kinematics; Spatiotemporal

Mesh:

Year:  2015        PMID: 25827680     DOI: 10.1016/j.gaitpost.2015.03.009

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  9 in total

1.  Detecting subtle mobility changes among older adults: the Quantitative Timed Up and Go test.

Authors:  Erin Smith; Caitriona Cunningham; Barry R Greene; Ulrik McCarthy Persson; Catherine Blake
Journal:  Aging Clin Exp Res       Date:  2020-10-23       Impact factor: 3.636

2.  Different haptic tools reduce trunk velocity in the frontal plane during walking, but haptic anchors have advantages over lightly touching a railing.

Authors:  Isabel Hedayat; Renato Moraes; Joel L Lanovaz; Alison R Oates
Journal:  Exp Brain Res       Date:  2017-03-10       Impact factor: 1.972

3.  Validity and repeatability of inertial measurement units for measuring gait parameters.

Authors:  Edward P Washabaugh; Tarun Kalyanaraman; Peter G Adamczyk; Edward S Claflin; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2017-04-12       Impact factor: 2.840

4.  Instrumented balance and walking assessments in persons with multiple sclerosis show strong test-retest reliability.

Authors:  Jordan J Craig; Adam P Bruetsch; Sharon G Lynch; Fay B Horak; Jessie M Huisinga
Journal:  J Neuroeng Rehabil       Date:  2017-05-22       Impact factor: 4.262

5.  Convergent Validity of a Wearable Sensor System for Measuring Sub-Task Performance during the Timed Up-and-Go Test.

Authors:  James Beyea; Chris A McGibbon; Andrew Sexton; Jeremy Noble; Colleen O'Connell
Journal:  Sensors (Basel)       Date:  2017-04-23       Impact factor: 3.576

6.  Experimental Validation of Depth Cameras for the Parameterization of Functional Balance of Patients in Clinical Tests.

Authors:  Francisco-Ángel Moreno; José Antonio Merchán-Baeza; Manuel González-Sánchez; Javier González-Jiménez; Antonio I Cuesta-Vargas
Journal:  Sensors (Basel)       Date:  2017-02-22       Impact factor: 3.576

7.  Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study.

Authors:  Rania Almajid; Rahul Goel
Journal:  J Phys Ther Sci       Date:  2022-02-23

8.  Dividing attention during the Timed Up and Go enhances associations of several subtask performances with MCI and cognition.

Authors:  Victoria N Poole; Robert J Dawe; Melissa Lamar; Michael Esterman; Lisa Barnes; Sue E Leurgans; David A Bennett; Jeffrey M Hausdorff; Aron S Buchman
Journal:  PLoS One       Date:  2022-08-03       Impact factor: 3.752

9.  Recovery of mobility function and life-space mobility after ischemic stroke: the MOBITEC-Stroke study protocol.

Authors:  R Rössler; S A Bridenbaugh; S T Engelter; R Weibel; D Infanger; E Giannouli; A Sofios; L Iendra; E Portegijs; T Rantanen; L Streese; H Hanssen; R Roth; A Schmidt-Trucksäss; N Peters; T Hinrichs
Journal:  BMC Neurol       Date:  2020-09-16       Impact factor: 2.474

  9 in total

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